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Compositing digital images
Open accessAbstract
Most computer graphics pictures have been computed all at once, so that the rendering program takes care of all computations relating to the overlap of objects. There are several applications, however, where elements must be rendered separately, relying on compositing techniques for the anti-aliased accumulation of the full image. This paper presents the case for four-channel pictures, demonstrating that a matte component can be computed similarly to the color channels. The paper discusses guidelines for the generation of elements and the arithmetic for their arbitrary compositing .
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Citations
Cited by
Display of surfaces from volume data
Levoy, M. (1988) · IEEE Computer Graphics and Applications · doi:10.1109/38.511 · Cited by 2,446
Efficient ray tracing of volume data
Levoy, M. (1990) · ACM Transactions on Graphics · doi:10.1145/78964.78965 · Cited by 991
Single-View View Synthesis With Multiplane Images
Tucker, R., & Snavely, N. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.00063 · Cited by 324
Simulating Low-Cost Cameras for Augmented Reality Compositing
Klein, G., & Murray, D. W. (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2009.210 · Cited by 47
A simulation-based few samples learning method for surface defect segmentation
Wei, T., Cao, D., Zheng, C., & Yang, Q. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.06.090 · Cited by 21
Metadata
- Authors
- Porter, T., & Duff, T.
- Venue
- ACM SIGGRAPH Computer Graphics
- Published
- 1984-01
- Volume
- 18
- Issue
- 3
- Pages
- 253-259
- ISSN
- 0097-8930 (ISSN-L)
- OpenAlex
- W2177745862
- Cited by
- 727
- References
- 0
- FWCI
- 11.07
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Compositing digital images. https://app.cochat.ai/papers/10.1145/964965.808606
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- Porter, T., & Duff, T. (1984). Compositing digital images. ACM SIGGRAPH Computer Graphics. https://doi.org/10.1145/964965.808606
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
